Senior Data Scientist, AI, Healthcare & Lifesciences

IBM

Remote

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Work type
Remote
Location
Remote
Posted
8 days ago

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Similar $174k
$125k most similar roles pay here $233k

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TL;DR · Senior Data Scientist, AI, Healthcare & Lifesciences

The Senior Data Scientist role at our leading AI firm focuses on developing advanced AI/GenAI models for Healthcare and Life Sciences applications. This position involves analyzing large datasets to extract actionable insights and collaborating with cross-functional teams including clinicians and biostatisticians to integrate AI solutions into clinical workflows. Key responsibilities include designing predictive models, implementing agentic AI systems, conducting performance evaluations, and ensuring regulatory compliance through documentation. The ideal candidate has extensive experience in machine learning model development using Python or R alongside frameworks like TensorFlow and PyTorch, with a solid background in healthcare data such as EHRs and genomic datasets. Strong collaboration skills and the ability to communicate complex technical concepts are essential for success in this role.

What you'll do

  • Design and develop AI/GenAI models tailored for Healthcare and Life Sciences applications.
  • Analyze large datasets to extract actionable insights for patient outcomes and treatment optimization.
  • Develop predictive models for clinical decision support and validate their accuracy and reliability.
  • Implement agentic AI systems capable of autonomously performing tasks in healthcare processes.
  • Document methodologies, results, and model pipelines for reproducibility and regulatory compliance.

What we're looking for

  • Proven experience in AI/GenAI model development for Healthcare and Life Sciences.
  • Strong programming skills in Python/R with proficiency in TensorFlow, PyTorch, or scikit-learn.
  • Experience working with healthcare data such as EHRs, genomic data, and clinical trials.
  • Solid understanding of statistics, experimental design, and data preprocessing techniques.
  • Familiarity with cloud platforms for deploying AI solutions in production environments.
  • Ability to collaborate effectively with multidisciplinary teams including clinicians and engineers.
  • Excellent communication skills for presenting technical findings to both experts and non-experts.

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